Decentralized Data Management Through Encrypted Segments and Ledger Lineage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional decentralized data management systems face vulnerabilities due to insufficient data redundancy, lack of robust cryptographic tracking, and inadequate integration with decentralized ledgers, leading to insecure data retrieval, unauthorized modifications, and regulatory compliance issues.
Innovation Solution
A decentralized data management system that uses unique identifiers, cryptographic lineage tracking, dynamic redundancy schemes, and automated security alerts to manage and verify data across interoperable platforms, ensuring secure data reconstruction and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is distributed across decentralized storage nodes, then data availability and redundancy are improved, but cryptographic tracking and verification become more complex
Solution Approach 1:
The patent divides data into multiple encrypted segments that are distributed across different storage nodes. Each segment is independently encrypted and tagged with cryptographic metadata, allowing the system to maintain data availability through redundancy while managing cryptographic complexity through structured segmentation of the data management task.
Solution Approach 2:
The patent introduces a decentralized ledger as an intermediary layer that tracks cryptographic metadata about data segments without storing the actual data. This mediator handles the cryptographic tracking complexity by maintaining a distributed record of segment locations, encryption keys, and provenance information across multiple nodes.
2Reliability
If decentralized ledgers are integrated with identity management, then security and compliance are improved, but system integration complexity increases
Solution Approach 1:
The patent merges decentralized ledger technology with identity management systems by embedding cryptographic identifiers and provenance records directly into the ledger structure. This integration consolidates security functions and identity verification into a unified system, improving security while managing integration complexity through functional consolidation rather than separate components.
Solution Approach 2:
The patent creates a universal interface layer that enables multiple decentralized platforms to interact through standardized cryptographic protocols. This multi-functional interface handles identity verification, data encryption, ledger integration, and compliance checking through a single unified mechanism, reducing the complexity of integrating multiple specialized systems.
3Productivity
If dynamic node selection is implemented, then data retrieval efficiency is improved, but real-time performance monitoring complexity increases
Solution Approach 1:
The patent implements dynamic node selection by continuously monitoring storage node performance metrics and using this feedback to adjust data segment distribution. The system tracks node availability, response times, and throughput, then redistributes data segments to optimize retrieval efficiency based on real-time conditions, managing monitoring complexity through targeted metric collection rather than comprehensive system analysis.
Data Source
AI summary
Systems and methods for decentralized data management across interoperable distributed platforms are disclosed. A computing system receives input data associated with a unique decentralized identifier (DID) representing an entity or event. The computing system segments the input data into encrypted data segments, each cryptographically linked to the DID, and distributes these encrypted segments across decentralized storage nodes according to a redundancy scheme. A cryptographic lineage record, including segment identifiers, timestamps, and hashes linked to the DID, is stored in a decentralized ledger. In response to authenticated access requests, the computing system reconstructs the input data by retrieving, decrypting, and cryptographically verifying the distributed data segments against the lineage record. Authorized entities access the reconstructed data through interfaces enforcing cryptographically secured access permissions defined within the decentralized ledger, providing enhanced security, provenance verification, and data resilience.